{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "85d6afcd-1109-4c54-82ee-b7cfa84cc006",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.model_selection import KFold\n",
    "\n",
    "#绘制散点图\n",
    "from pandas.plotting import scatter_matrix\n",
    "#绘图\n",
    "from matplotlib import pyplot\n",
    "\n",
    "pyplot.rcParams['font.sans-serif']=['SimHei'] # 设置中文显示\n",
    "pyplot.rcParams['axes.unicode_minus']=False "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "4c9c238b-5956-4e97-bc09-db7413c8956b",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# 逻辑回顾算法\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "# 决策树\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "# 线性判别分析\n",
    "from sklearn.discriminant_analysis import LinearDiscriminantAnalysis\n",
    "# K近邻算法\n",
    "from sklearn.neighbors import KNeighborsClassifier\n",
    "# 贝叶斯\n",
    "from sklearn.naive_bayes import GaussianNB\n",
    "# 支持向量机SVM\n",
    "from sklearn.svm import SVC\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "e4a1a5f5-25dc-4f08-8e63-0ea900597e9c",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# 交叉验证\n",
    "from sklearn.model_selection import cross_val_score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "07c5809a-f12d-4b9e-83dc-1f4b984cfafa",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>萼片长度</th>\n",
       "      <th>萼片宽度</th>\n",
       "      <th>花瓣长度</th>\n",
       "      <th>花瓣宽度</th>\n",
       "      <th>品种</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>4.9</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4.7</td>\n",
       "      <td>3.2</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4.6</td>\n",
       "      <td>3.1</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.6</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5.4</td>\n",
       "      <td>3.9</td>\n",
       "      <td>1.7</td>\n",
       "      <td>0.4</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>144</th>\n",
       "      <td>6.7</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.2</td>\n",
       "      <td>2.3</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>6.3</td>\n",
       "      <td>2.5</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.9</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>6.5</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.2</td>\n",
       "      <td>2.0</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>6.2</td>\n",
       "      <td>3.4</td>\n",
       "      <td>5.4</td>\n",
       "      <td>2.3</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>5.9</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.1</td>\n",
       "      <td>1.8</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>149 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     萼片长度  萼片宽度  花瓣长度  花瓣宽度         品种\n",
       "0     4.9   3.0   1.4   0.2     setosa\n",
       "1     4.7   3.2   1.3   0.2     setosa\n",
       "2     4.6   3.1   1.5   0.2     setosa\n",
       "3     5.0   3.6   1.4   0.2     setosa\n",
       "4     5.4   3.9   1.7   0.4     setosa\n",
       "..    ...   ...   ...   ...        ...\n",
       "144   6.7   3.0   5.2   2.3  virginica\n",
       "145   6.3   2.5   5.0   1.9  virginica\n",
       "146   6.5   3.0   5.2   2.0  virginica\n",
       "147   6.2   3.4   5.4   2.3  virginica\n",
       "148   5.9   3.0   5.1   1.8  virginica\n",
       "\n",
       "[149 rows x 5 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "url = 'https://www.gairuo.com/file/data/dataset/iris.data'\n",
    "df = pd.read_csv(url, header=1, names=['萼片长度', '萼片宽度', '花瓣长度', '花瓣宽度', '品种'])\n",
    "# url = 'https://www.gairuo.com/file/data/dataset/iris.data'\n",
    "# df = pd.read_csv(url, header=1, names=['萼片长度', '萼片宽度', '花瓣长度', '花瓣宽度', '品种'])\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "e751b279-7216-40b6-8fce-4067fef709ec",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.plot(kind='box',subplots=True,layout=(2,2),sharex=False,sharey=False)\n",
    "pyplot.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "ffa1db8e-5f10-4cb6-ac00-48594f9f6b03",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.hist()\n",
    "pyplot.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "da22e803-6395-42b3-b4e4-3b43e2364d9a",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 16 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "scatter_matrix(df)\n",
    "pyplot.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "ededd68f-276d-4f08-b23c-856154eaff41",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "X = data[:,0:4]\n",
    "Y= data[:,4]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "68c40efc-ce83-47a8-9a45-bd372835f214",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "validation_size=0.2\n",
    "seed = 7"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "d35f0304-b130-469f-b8e0-086e4692345d",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "X_train,X_validation,Y_train,Y_validation=train_test_split(X,Y,test_size=validation_size,random_state=seed)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "0470d21f-ae33-445f-a5f0-003aedab3279",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(30, 4)"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_validation.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "107f2b3a-1588-4110-a06b-81c4ae0e3ce6",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(149, 5)"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "11988ac5-8227-4038-ab10-a3aa4880a2e9",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "#算法审查\n",
    "models={}\n",
    "models['LR']=LogisticRegression()\n",
    "models['LDA']=LinearDiscriminantAnalysis()\n",
    "models['KNN']=KNeighborsClassifier()\n",
    "models['CART']=DecisionTreeClassifier()\n",
    "models['NB']=GaussianNB()\n",
    "models['SVM']=SVC()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "d2349441-3025-4040-96a0-c25209131a59",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/conda/lib/python3.10/site-packages/sklearn/linear_model/_logistic.py:460: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
      "\n",
      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
      "Please also refer to the documentation for alternative solver options:\n",
      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
      "  n_iter_i = _check_optimize_result(\n",
      "/opt/conda/lib/python3.10/site-packages/sklearn/linear_model/_logistic.py:460: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
      "\n",
      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
      "Please also refer to the documentation for alternative solver options:\n",
      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
      "  n_iter_i = _check_optimize_result(\n",
      "/opt/conda/lib/python3.10/site-packages/sklearn/linear_model/_logistic.py:460: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
      "\n",
      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
      "Please also refer to the documentation for alternative solver options:\n",
      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
      "  n_iter_i = _check_optimize_result(\n",
      "/opt/conda/lib/python3.10/site-packages/sklearn/linear_model/_logistic.py:460: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
      "\n",
      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
      "Please also refer to the documentation for alternative solver options:\n",
      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
      "  n_iter_i = _check_optimize_result(\n",
      "/opt/conda/lib/python3.10/site-packages/sklearn/linear_model/_logistic.py:460: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
      "\n",
      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
      "Please also refer to the documentation for alternative solver options:\n",
      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
      "  n_iter_i = _check_optimize_result(\n",
      "/opt/conda/lib/python3.10/site-packages/sklearn/linear_model/_logistic.py:460: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
      "\n",
      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
      "Please also refer to the documentation for alternative solver options:\n",
      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
      "  n_iter_i = _check_optimize_result(\n",
      "/opt/conda/lib/python3.10/site-packages/sklearn/linear_model/_logistic.py:460: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
      "\n",
      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
      "Please also refer to the documentation for alternative solver options:\n",
      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
      "  n_iter_i = _check_optimize_result(\n"
     ]
    }
   ],
   "source": [
    "#评估算法\n",
    "results=[]\n",
    "for key in models:\n",
    "    kfold=KFold(n_splits=10,random_state=seed,shuffle=True)\n",
    "    cv_results=cross_val_score(models[key],X_train,Y_train,cv=kfold,scoring='accuracy')\n",
    "    results.append(cv_results)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "30900e76-5074-48eb-81ab-d08bb8f609f3",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[array([1.        , 1.        , 0.91666667, 0.91666667, 0.91666667,\n",
       "        1.        , 1.        , 0.91666667, 1.        , 1.        ]),\n",
       " array([1.        , 1.        , 1.        , 1.        , 1.        ,\n",
       "        1.        , 1.        , 0.83333333, 1.        , 1.        ]),\n",
       " array([1.        , 1.        , 0.91666667, 1.        , 0.91666667,\n",
       "        1.        , 1.        , 0.91666667, 1.        , 1.        ]),\n",
       " array([1.        , 1.        , 0.91666667, 0.91666667, 0.91666667,\n",
       "        1.        , 1.        , 0.91666667, 0.91666667, 1.        ]),\n",
       " array([1.        , 1.        , 0.91666667, 0.91666667, 0.91666667,\n",
       "        1.        , 1.        , 0.83333333, 1.        , 1.        ]),\n",
       " array([1.        , 1.        , 0.91666667, 0.91666667, 0.91666667,\n",
       "        1.        , 1.        , 0.91666667, 0.91666667, 1.        ])]"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "c1b5612e-3760-4cbd-b551-2e6bd54996af",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig=pyplot.figure()\n",
    "fig.suptitle('Algorithm Comparison')\n",
    "ax=fig.add_subplot(111)\n",
    "pyplot.boxplot(results)\n",
    "ax.set_xticklabels(models.keys())\n",
    "pyplot.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "afef3a7e-13d0-4179-be81-b5ef8524d2ea",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.11"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
